This thesis presents the results and correlation analysis of experiments on a system designed to assess an individual's wellness using mobile environmental sensors. The system uses Bluetooth Low Energy to communicate sensor data from an Internet of Things device to a mobile application designed for this system. Participants were given a smartphone application presenting a psychological survey three times per day. A device in their possession reads environmental data for five variables: temperature, humidity, air pressure, luminosity, and noise. The first experiment, with eight participants over five days, saw statistically significant moderate correlation between several variables and stress/distress. The second experiment had 20 participants for 10 days. While no moderate-high correlation was determined, the highest of the statistically significant correlations were for light, noise, and number of people present. A third experiment of 34 people over 5 days saw similarly weak coefficients, but statistical significance for the noise variable.